add column with rel. sensitivity

isotables/isotopapp/templates/result.html

@@ -22,6 +22,7 @@
             <th scope="col">Spin</th>
             <th scope="col">Nat. ab. in %</th>
             <th scope="col">&gamma; in MHz/T</th>
+            <th scope="col">Sens. in %(<sup>1</sup>H)</th>
         </tr>
         </thead>
         <tbody>
@@ -39,13 +40,18 @@
     {{ div| safe }}
 
 <div>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/3.2.2/es5/latest.js"
+            integrity="sha512-nUTIGJLS9aRMjQaRwpCiC+0Y2RzgW4sufFhFgyjHgn15DXLSfoVUaEa83CsNe2FSJpLXtfgdVfgL7a0lrbcBWA=="
+            crossorigin="anonymous"
+            referrerpolicy="no-referrer">
+    </script>
     <script src="https://cdn.bokeh.org/bokeh/release/bokeh-3.7.1.min.js"></script>
     <script src="https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.7.1.min.js"></script>
     <script src="https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.7.1.min.js"></script>
     <script src="https://cdn.bokeh.org/bokeh/release/bokeh-api-3.7.1.min.js"></script>
     <script src="https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.7.1.min.js"></script>
-
     {{ script| safe }}
+
 </div>
 
 

isotables/isotopapp/views.py

@@ -5,7 +5,7 @@ from django.shortcuts import render
 from django.utils.safestring import mark_safe
 import re
 
-from bokeh.plotting import figure as bokehfig
+from bokeh.plotting import figure
 from bokeh.embed import components
 from bokeh.models import Label, Node, MathML
 
@@ -36,8 +36,21 @@ def isotope_info(isotope, field):
             isotope.name.capitalize(),
             f"{f_larmor:.3f}",
             spin,
-            f"{isotope.natural_abundance:.1f}",
+            f"{isotope.natural_abundance:.3f}",
-            f"{isotope.gamma:.5f}"]
+            f"{isotope.gamma:.5f}",
+            f"{relative_sensitivity(isotope):.4f}"]
+
+def relative_sensitivity(iso):
+    riso = Isotope.objects.filter(symbol="H", n_nucleons="1").get()
+    i1 = riso.spin_quantum_number
+    g1 = riso.gamma
+    ab1 = riso.natural_abundance
+    i2 = float(iso.spin_quantum_number)
+    g2 = float(iso.gamma)
+    ab2 = float(iso.natural_abundance)
+    rel_sens = i2*(i2+1)*g2**3*ab2 / (i1*(i1+1)*g1**3*ab1)
+    print(rel_sens)
+    return  rel_sens*100
 
 def result(request):
     n1, element1 = extract_isotope_parts(request.GET.get('isotope1'))
@@ -52,7 +65,7 @@ def result(request):
 
     print(request.GET)
     if request.GET.get('range_search') == "":
-        close_isotopes = [isotope_info(isotope1, field_T)]
+        close_isotopes = []
         freq_range = float(request.GET.get('freq_range'))
         Isotope.objects.filter()
         # calculate the frequency for all isotopes and compile a list of close by isotopes
@@ -63,12 +76,15 @@ def result(request):
             if abs(f_Larmor - freq) <= freq_range:
                 close_isotopes.append(isotope_info(isotope, field_T))
         ans = sorted(close_isotopes, key=lambda x: -float(x[3]))
+        div = f"Field B<sub>0</sub>: {field_T:.3f} T"
+        script = ""
 
     elif request.GET.get('gradient_search') == "":
         sample_diameter = 5e-3
         gradient = float(request.GET.get('gradient'))
         # create a plot (bokeh)
-        plot = bokehfig(outer_width=400, outer_height=400, match_aspect=True)
+
+        plot = figure(outer_width=400, outer_height=400, match_aspect=True)
         plot.ellipse(x=[0], y=[0], width=5, height=5, color="#D5D9FF", alpha=0.8, line_width=1, line_color="black")
         plot.ellipse(x=[0], y= [2.5], width=5, height=5, color="#D5D9FF", alpha=0.4, line_width=1, line_color="black")
         plot.ellipse(x=[0], y=[-2.5], width=5, height=5, color="#D5D9FF", alpha=0.4, line_width=1, line_color="black")
@@ -83,17 +99,8 @@ def result(request):
                 i_info = isotope_info(isotope, field_T)
                 #i_info[3] = f"{z*1e3:.1f} mm"
                 close_isotopes.append(i_info)
-                mathml = f"""
-                <math>
-                <msup>
-                {isotope.n_nucleons}
-                </msup>
-                {isotope.symbol}
-                </math>
-                """
                 plot.rect(x=[0], y=[z*1e3], width=5, height=0.2, color="black", alpha=0.6)
                 label = Label(x=2.6, y=z*1e3, text=f"{isotope.n_nucleons}{isotope.symbol}", text_baseline="middle", text_align="left", text_font_size="16pt")
-                #label = Label(x=2.6, y=z*1e3, text=MathML(mathml), text_baseline="middle", text_align="left", text_font_size="16pt")
                 plot.add_layout(label)
 
         frame_left = Node(target="frame", symbol="left", offset=5)
@@ -102,10 +109,10 @@ def result(request):
             x=frame_left,
             y=frame_bottom,
             anchor="bottom_left",
-            #text=MathML(text=f"<math><msup>{isotope1.n_nucleons}</msup>{isotope1.symbol}: {freq:.1f} MHz\ng={gradient:.1f} T/m\n5 mm sample dia.</math>"),
+            #text=MathML(text=f"<math><sup>{isotope1.n_nucleons}</msup>{isotope1.symbol}: {freq:.1f} MHz\ng={gradient:.1f} T/m\n5 mm sample dia.</math>"),
             text=f"{isotope1.n_nucleons}{isotope1.symbol}: {freq:.1f} MHz\ng={gradient:.1f} T/m\n5 mm sample dia.",
             #text=MathML("<math>tewt</math>"),
-            padding=10,
+            padding=5,
             border_radius=5,
             border_line_color="black", background_fill_color="white",
         )
@@ -119,7 +126,9 @@ def result(request):
         n2, element2 = extract_isotope_parts(request.GET.get('isotope2'))
         isotope2 = Isotope.objects.filter(symbol=element2, n_nucleons=n2).get()
         #isotope_info(isotope2, field_T)
-        ans = [isotope_info(isotope2, field_T)]
+        ans = [isotope_info(isotope2, field_T), isotope_info(isotope1, field_T) ]
+        div = f"Field B<sub>0</sub>: {field_T:.3f} T"
+        script = ""
     else:
         ans = []
     return render(request, 'result.html', {'ans': ans, 'script': script, 'div': div})